H

HPC

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL

Template Numerical Library https://tnl-project.org/

AI Seed Phrase Finder: Advanced Cryptographic Recovery and Neural Network Research

Project Overview: AI Seed Phrase Finder is a professional software solution designed for technical research and digital asset recovery within the Bitcoin ecosystem. The project utilizes a high-performance hybrid architecture to predict and validate mnemonic seed phrases using advanced Artificial Intelligence.

Technical Core: The framework employs a multi-layered AI stack to optimize search efficiency:

Hybrid client-server architecture using remote High-Performance Computing clusters. Neural Network integration (RNN and LSTM) for sequential word prediction. Genetic and Evolutionary algorithms for word combination analysis. Real-time blockchain API validation to ensure liquidity detection. Mission: Our primary objective is to advance the field of cryptographic entropy analysis and provide a reliable path for users to regain access to lost or forgotten digital assets. This project promotes market stability and helps return inaccessible Bitcoin to circulation through scientific and research-driven methods.

Shoot a JupyterLab | marimo | VS Code/VSCodium | Pluto.jl | Matlab | SSHD | ... server to a (remote) Slurm allocation and talk to it via your local browser. Runs locally (Linux, Mac, Windows (WSL)) or remotely (e.g. as Remote or ProxyCommand configured in ~/.ssh/config) or inside an interactive Slurm session. One Bash script for both tasks: as a wrapper it starts itself as an sbatch script in a Slurm job.

Standalone aMC development repository, submodule'd to MESSy & caaba-mecca repositories (mirror)

A comprehensive CUDA compute library for Zig providing GPU memory management, kernel compilation/launching, device probing, and profiling capabilities

Portable Engine for the Production of Parton-level Event Records

A lightweight, fully unprivileged container implementation for HPC applications.

Tamaas is a C++ library with a Python interface to efficiently solve contact mechanics problems with periodic rough surfaces, plasticity, adhesion and friction.

Developers, Build your backends in record time! Deploy at scale with serverless technology. Self-host, install on any cloud or use our hosted platform. Open source, low code.

Ryax Actions for HPC offloading

This GitLab CI/CD component sets up the European Environment for Scientific Software Installations (EESSI) for use in GitLab CI/CD. EESSI is like a streaming service for software installations: you have access to a large catalogue of software provided by EESSI, however the installations are only cached on the system once you try to access them.

EPSILOD is a C11 framework for iterative stencil computations acceleration on heterogeneous and distributed systems, with great scaling capabilities. It is presented as a function which solves a fixed number of iterations of a geometric stencil computation. It also supports device-tailored optimized stencil kernels.

Controllers is a library written in C99 that provides a simplified way to program application that can exploit heterogeneous computational platforms including accelerators and/or multi-core CPUs.

Set of Feature Selection Tools that make use of parallel environments through CUDA, MPI and Threads

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

A simple deployment strategy for PBI's cluster usage.